Maximum Number of Constant Weight Vertices of the Unit n-Cube Contained in a k-Dimensional Subspace.
Rudolf AhlswedeHarout K. AydinianLevon H. KhachatrianPublished in: Comb. (2003)
Keyphrases
- maximum number
- edge weights
- total weight
- low dimensional
- subspace clustering
- principal component analysis
- feature space
- high dimensional
- dimensionality reduction
- multi dimensional
- data cube
- lower dimensional
- subspace learning
- weighting scheme
- high dimensional data
- planar graphs
- weight function
- hamiltonian cycle
- kernel based nonlinear
- bipartite graph
- principal components analysis
- image sequences
- data analysis
- pattern recognition
- support vector
- data structure